David Kleinhans

Contact details

Office address
NEXT ENERGY
EWE-Forschungszentrum für Energietechnologie e. V.
at Carl von Ossietzky University Oldenburg
Carl-von-Ossietzky-Str. 15
DE-26129 Oldenburg
Germany
www.next-energy.de

Phone / email
phone: +49 441 99906-106
fax: +49 441 99906-109
email: david.kleinhans|add:at|next-energy|add:dot|de
skype: call|david|at|work (remove vertical lines)
Researcher ID: C-4401-2012
Dr. David Kleinhans David Kleinhans

Scientific interests

Stochastic processes, complex systems, wind energy applications, modelling of energy systems, renewable energies, turbulence theory, time series analysis and measurement design, spatio-temporal population dynamics, evolutionary biology

Weblinks

Software projects

Personal funding acquired

Preprints

Scientific publications (mostly peer-reviewed)

[1] Stefan Weitemeyer, David Kleinhans, Lukas Wienholt, Thomas Vogt, and Carsten Agert. A european perspective: Potential of grid and storage for balancing renewable power systems. Energy Technology, 4:114–122, 2016. [ bib ]
[2] Lars Siemer, Frank Schöpfer, and David Kleinhans. Cost-optimal operation of energy storage units: Benefits of a problem-specific approach. Journal of Energy Storage, 6:11–21, 2016. [ bib | http ]
[3] Lisa Sundqvist, Kelvin Keenan, Martin Zackrisson, Paolo Prodöhl, and David Kleinhans. Directional genetic differentiation and relative migration. Ecology and Evolution, 2016. [ bib | http ]
[4] Alaa Alhamwi, David Kleinhans, Stefan Weitemeyer, and Thomas Vogt. Moroccan national energy strategy reviewed from a meteorological perspective. Energy Strategy Reviews, 6:39-47, 2015. [ bib ]
[5] Stefan Weitemeyer, David Kleinhans, Thomas Vogt, and Carsten Agert. Integration of renewable energy sources in future power systems: The role of storage. Renewable Energy, 75:14-20, 2015. [ bib ]
[6] Alaa Alhamwi, David Kleinhans, Stefan Weitemeyer, and Thomas Vogt. Optimal mix of renewable power generation in the mena region as a basis for an efficient electricity supply to europe. In EPJ Web of Conferences, volume 79. EDP Sciences, 2014. [ bib ]
[7] Stefan Weitemeyer, David Kleinhans, Thomas Vogt, and Carsten Agert. Energy system modelling-interactions and synergies in a highly renewable pan-european power system. In EPJ Web of Conferences, volume 79. EDP Sciences, 2014. [ bib ]
[8] Anna Godhe, Jenny Egardt, David Kleinhans, Lisa Sundqvist, Robinson Hordoir, and Per R Jonsson. Seascape analysis reveals regional gene flow patterns among populations of a marine planktonic diatom. Proceedings of the Royal Society B: Biological Sciences, 280(1773):20131599, 2013. [ bib | DOI ]
[9] David Kleinhans. Estimation of drift and diffusion functions from time series data: A maximum likelihood framework. Physical Review E, 85(2):026705, 2012. [ bib | DOI | http ]
[10] Frank Raischel, Ana Russo, Maria Haase, David Kleinhans, and Pedro G. Lind. Searching for optimal variables in real multivariate stochastic data. Physics Letters A, 376(30–31):2081 - 2089, 2012. [ bib | DOI | http ]
[11] David Kleinhans and Per R. Jonsson. On the impact of dispersal asymmetry on metapopulation persistence. Journal of Theoretical Biology, 290:37–45, 2011. [ bib | DOI | http ]
[12] Tanja Mücke, David Kleinhans, and Joachim Peinke. Atmospheric turbulence and its influence on the alternating loads on wind turbines. Wind Energy, 14(2):301-316, 2011. [ bib | DOI ]
[13] Robert Stresing, David Kleinhans, Rudolf Friedrich, and Joachim Peinke. Different methods to estimate the Einstein-Markov coherence length in turbulence. Phys. Rev. E, 83(4):046319, 2011. [ bib | DOI ]
[14] Vitor V. Vasconcelos, Frank Raischel, Maria Haase, Joachim Peinke, Matthias Wächter, Pedro G. Lind, and David Kleinhans. Principal axes for stochastic dynamics. Physical Review E, 84(3), 2011. [ bib | DOI ]
[15] David Kleinhans, Rudolf Friedrich, Alois P. Schaffarczyk, and Joachim Peinke. Synthetic turbulence models for wind turbine applications. In J. Peinke, M. Oberlack, and A. Talamelli, editors, Progress in Turbulence III, volume 131 of Springer Proceedings in Physics, pages 111 - 114. Springer, Berlin, 2010. [ bib ]
[16] Pedro G. Lind, Maria Haase, Frank Böttcher, Joachim Peinke, David Kleinhans, and Rudolf Friedrich. Extracting strong measurement noise from stochastic time series: Applications to empirical data. Physical Review E, 81(041125):13, 2010. [ bib ]
[17] Alois P. Schaffarczyk, H. Gontier, David Kleinhans, and Rudolf Friedrich. A new non-gaussian turbulent wind field generator to estimate design-loads of wind-turbines. In J. Peinke, M. Oberlack, and A. Talamelli, editors, Progress in Turbulence III, volume 131 of Springer Proceedings in Physics, pages 107 - 110. Springer, Berlin, 2010. [ bib ]
[18] David Kleinhans. Stochastische Modellierung komplexer Systeme - Von den theoretischen Grundlagen zur Simulation atmosphärischer Windfelder. PhD thesis, Westfälische Wilhelms-Universität Münster, Germany, 2008. [ bib | http ]
[19] Tanja Mücke, David Kleinhans, and Joachim Peinke. Alternating loads: A comparison of torque fluctuations resulting from atmospheric and synthetic wind fields. In Proceedings of DEWEK 2008, 2008. [ bib ]
[20] Tanja Mücke, David Kleinhans, and Joachim Peinke. Influence of small scale wind velocity fluctuations an the aerodynamic alternating loads. In European Wind Energy Conference (EWEC), 2008. [ bib ]
[21] Joachim Peinke, Edgar Anahua, Stephan Barth, Hervier Gontier, Alois P. Schaffarczyk, David Kleinhans, and Rudolf Friedrich. Turbulence: a challanging issue for the wind energy conversion. In European Wind Energy Conference (EWEC), 2008. [ bib ]
[22] Frank Böttcher, Joachim Peinke, David Kleinhans, and Rudolf Friedrich. Handling systems driven by measurement noise sources: Implications for power curve estimations. In Joachim Peinke, Peter Schaumann, and Stephan Barth, editors, Wind Energy: Proceedings of the Euromech Colloquium, pages 179-182. Springer Berlin Heidelberg, 2007. [ bib ]
[23] Stephan Eule, Rudolf Friedrich, Frank Jenko, and David Kleinhans. Langevin approach to fractional diffusion equations including inertial effects. Journal of Physical Chemistry B, 111(39):11474-11477, 2007. [ bib ]
[24] Herve Gontier, Alois P. Schaffarczyk, David Kleinhans, and Rudolf Friedrich. A comparison of fatigue loads of wind turbine resulting from a non-Gaussian turbulence model vs. standard ones. Journal of Physics: Conference Series, 75(012070), 2007. [ bib ]
[25] David Kleinhans and Rudolf Friedrich. Quantitative estimation of drift and diffusion functions from time series data. In Joachim Peinke, Peter Schaumann, and Stephan Barth, editors, Wind Energy: Proceedings of the Euromech Colloquium, pages 129-133. Springer Berlin Heidelberg, 2007. [ bib ]
[26] David Kleinhans and Rudolf Friedrich. Continuous time random walks: Simulation of continuous trajectories. Physical Review E, 76:061102, 2007. [ bib | http ]
[27] David Kleinhans and Rudolf Friedrich. Maximum likelihood estimation of drift and diffusion functions. Physics Letters A, 368:194-198, 2007. [ bib | http ]
[28] David Kleinhans, Rudolf Friedrich, Matthias Wächter, and Joachim Peinke. Markov properties in presence of measurement noise. Physical Review E (Statistical, Nonlinear, and Soft Matter Physics), 76(4):041109, 2007. [ bib | DOI | http ]
[29] Andreas Nawroth, Joachim Peinke, David Kleinhans, and Rudolf Friedrich. Improved estimation of Fokker-Planck equations through optimisation. Physical Review E, 76:056102, 2007. [ bib | http ]
[30] Frank Böttcher, Joachim Peinke, David Kleinhans, Rudolf Friedrich, Pedro G. Lind, and Maria Haase. Reconstruction of complex dynamical systems affected by strong measurement noise. Phys. Rev. Lett., 97:090603, 2006. [ bib | http ]
[31] Herve Gontier, Alois P. Schaffarczyk, David Kleinhans, and Rudolf Friedrich. Comparison of aerodynamic loads from new turbulence models deduced by statistical fluid mechanics with those used in standard guidelines. In Proceedings of DEWEK 2006, 2006. [ bib ]
[32] David Kleinhans, Rudolf Friedrich, Herve Gontier, and Alois P. Schaffarczyk. Simulation of intermittent wind fields: A new approach. In Proceedings of DEWEK 2006, 2006. [ bib ]
[33] Rudolf Friedrich, David Kleinhans, and Joachim Peinke. Disentangling noise and fluctuations in data sets of complex systems. In Bernhard Kramer, editor, Advances in Solid State Physics, volume 45, pages 83-94. Springer Berlin / Heidelberg, 2005. [ bib ]
[34] David Kleinhans, Rudolf Friedrich, Andreas Nawroth, and Joachim Peinke. An iterative procedure for the estimation of drift and diffusion coefficients of Langevin processes. Phys Lett A, 346:42-46, 2005. [ bib | http ]
[35] David Kleinhans. Analyse stochastischer Prozesse - Eine iterative Methode zur Bestimmung von Drift und Diffusion. Master's thesis, Westfälische Wilhelms-Universität Münster, 2005. [ bib | .pdf ]
[36] David Kleinhans and Rudolf Friedrich. Estimation of measurement noise and dynamical parameters from time series data. In Proceedings of ENOC 2005, 2005. [ bib ]
[37] Rob Blaauwgeers, Juan Bueno, David Kleinhans, Susan Leerink, and Reijer Jochemsen. Improved optical setup to measure growth and melting of solid 3He below 1 mk in magnetic fields up to 9 tesla. Journal of Low Temperature Physics, 134(1-2):393-399, 2004. [ bib ]


Last updated on 2016-04-27